Feb 16, 2022 · In this work, we address the limitations of existing automated fake news detection models by incorporating auxiliary information (eg, user comments and user- ...

REAL-FND exploits cross-domain and within-domain knowledge that makes it robust in a target domain, despite being trained in a different source domain.

Sep 7, 2023 · In this work, we address the limitations of existing automated fake news detection models by incorporating auxiliary information (e.g., user.

This work addresses the limitations of existing automated fake news detection models by incorporating auxiliary information into a novel reinforcement ...

Duration: 12:47
Posted: Sep 12, 2022

DAFD: Domain Adaptation Framework for Fake News Detection. 3 stars 0 forks Branches Tags Activity.

Fingerprint. Dive into the research topics of 'Domain Adaptive Fake News Detection via Reinforcement Learning'. Together they form a unique fingerprint.

Apr 25, 2022 · Our model is able to adapt to both linguistic and offensiveness generalizations by employing adversarial loss and Hurtlex vectors respectively.

Domain Adaptive Fake News Detection via Reinforcement Learning · no code implementations • 16 Feb 2022 • Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu ...

Jul 8, 2024 · This research explores the effectiveness of supervised learning and reinforcement learning models in detecting fake news, which is a growing concern in the ...